Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare openWorldHint=true and destructiveHint=false, so the safety profile is partly covered. The description adds genuinely valuable context the annotations cannot express: the output is third-party AI/web content and must be treated as data, never as instructions. It stops short of disclosing billing/credit cost, which matters for an open-world paid query tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, both earning their place: the capability/scope first, then the mandatory handling warning. Nothing redundant, nothing buried.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description does some work on the return side by characterizing the payload as structured AI answers and web pages, and annotations carry the open-world/safety profile. It could say more about cost or latency for a charged external call, but the essentials for correct invocation are present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters (including the nested include flags and the US-only state constraint) are already documented in the schema. The description's 'in many regions' loosely reinforces the country parameter but adds no syntax or constraint detail beyond it, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get structured output from Microsoft Copilot') plus the scope of queries (brand, products, any topic) and the regional dimension. Among siblings (chatgpt, gemini, google) the provider is unambiguous, so an agent can route by name without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: the description tells you what kinds of prompts fit and that responses are third-party data, but never says when to pick this tool over chatgpt or gemini, nor any prerequisites. The injection warning is a handling guideline, not a selection guideline.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.